语言模型与人工智能
Language Models and Artificial Intelligence
冯志伟 1张灯柯1
作者信息
- 1. 新疆大学新疆民汉语文翻译研究中心,新疆乌鲁木齐 830046
- 折叠
摘要
本文按照自然语言处理学术发展的时间顺序,分析了人工智能与基于规则的语言模型、统计语言模型、神经语言模型、预训练语言模型、大语言模型之间的关系.研究指出,构建一个能够理解世界的模型将是人工智能未来的发展方向.
Abstract
This paper analyzes the relationship between artificial intelligence(AI)and rule-based language model(RLM),statistical language model(SLM),neural language model(NLM),pre-trained language model(PLM)and large language model(LLM)in the order of academic development of NLP.The paper finally points out that building a model that can understand the world is the future direction of artificial intelligence.
关键词
大语言模型/涌现/幻觉/世界模型/通用人工智能Key words
large language model/emergence/hallucination/world models/Artificial General Intelligence引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据